In Cho

Hi! 👋

I am currently a Ph.D candidate at Yonsei University, under the supervision of Prof. Seon Joo Kim.

I solve various problems in 3D vision and computational imaging using deep learning, which include3D generation, novel view synthesis, non-line-of-sight imaging, and point cloud understanding.

Research Interests

3D computer vision: 3D generative models, point cloud processing, NeRF, 3D Gaussian Splatting
Computational Imaging: non-line-of-sight imaging

Email : join [at] yonsei [dot] ac [dot] kr

🎓 Education

Ph.D. in Computer Science, Yonsei University, @ CIPLAB
- 2019-Present
B.S. in Computer Science, Yonsei University
- 2013-2019

📜 Publications

Representing 3D Shapes With 64 Latent Vectors for 3D Diffusion Models

In Cho, Youngbeom Yoo, Subin Jeon, Seon Joo Kim

arXiv

paper

4D Scaffold Gaussian Splatting for Memory Efficient Dynamic Scene Reconstruction

Woong Oh Cho, In Cho, Seoha Kim, Jeongmin Bae, Youngjung Uh, Seon Joo Kim

arXiv

paper

Learning to Enhance Aperture Phasor Field for Non-Line-of-Sight Imaging

In Cho, Hyunbo Shim, Seon Joo Kim

ECCV 2024

paper | project | code

Domain Reduction Strategy for Non-Line-of-Sight Imaging

Hyunbo Shim*, In Cho*, Seon Joo Kim

ECCV 2024

paper | project | code

Hierarchically Structured Neural Bones for Reconstructing Animatable Objects from Casual Videos

Subin Jeon, In Cho, Minsu Kim, Woong Oh Cho, Seon Joo Kim

ECCV 2024

paper | project

Unsupervised Keypoint Learning for Guiding Class-Conditional Video Prediction

Yunji Kim, Seonghyeon Nam, In Cho, Seon Joo Kim

NeurIPS 2019

paper | code

📜 Technical Reports

VAConv: Efficient Point Clouds Convolution Using Voxel Grid and

Attentional Weight Function

In Cho, Changha Shin, Sejong Yang, Seon Joo Kim

2020.03 - 2021.03

report